Full-Time

Forward Deployed Engineer

AI

Updated on 3/18/2025

MongoDB

MongoDB

5,001-10,000 employees

Database platform for developers and businesses

Compensation Overview

$118k - $231k/yr

Senior, Expert

Company Historically Provides H1B Sponsorship

New York, NY, USA

This role can be based out of our New York City office or remotely in the North America region.

Category
FinTech Engineering
Full-Stack Engineering
Software Engineering
Required Skills
LLM
Microsoft Azure
Python
React.js
Node.js
Java
Microservices
AWS
Next.js
AngularJS
Google Cloud Platform
Requirements
  • 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
  • Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
  • Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
  • Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
  • Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
  • Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
  • Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
  • Willing to travel up to 30% to engage directly with strategic customers
Responsibilities
  • Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
  • Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
  • Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
  • Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
  • Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
  • Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
  • Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
  • Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
  • Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB
Desired Qualifications
  • Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
  • Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
  • Have knowledge of AI ethics, governance, and compliance frameworks
  • Proficient in additional languages such as Spanish, Italian, German, or Mandarin

MongoDB provides a modern database platform that helps developers and businesses create applications quickly and efficiently. Its main product is the MongoDB database, which features a flexible document data model that allows for easy data management and rapid application development. Additionally, MongoDB offers Atlas, a fully-managed cloud database service, along with other integrated services. This platform is popular among various industries, including technology, finance, healthcare, and retail, due to its high availability, data integrity, and strong security features. Unlike many competitors, MongoDB's pricing model combines subscription and usage-based options, catering to a wide range of clients from startups to large enterprises. The company's goal is to empower innovation by providing a scalable and secure database solution while fostering a diverse workplace culture that encourages unique perspectives.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • MongoDB's acquisition of Voyage AI enhances its AI capabilities for enterprise applications.
  • Strategic partnerships with Alphabet, Microsoft, and IBM expand MongoDB's market reach.
  • Growing demand for AI-driven database solutions boosts MongoDB's competitive edge.

What critics are saying

  • IBM's acquisition of DataStax increases competition in the database market.
  • Integrating Voyage AI's technology may face challenges, delaying expected benefits.
  • AI hallucinations in applications could undermine customer trust if unresolved.

What makes MongoDB unique

  • MongoDB offers a flexible document data model for rapid application development.
  • The company provides a fully-managed cloud database service, MongoDB Atlas.
  • MongoDB's platform supports high availability, data integrity, and robust security.

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Benefits

Family Support Programs

Flexible PTO

Fertility and Adoption Assistance

Employee Affinity Groups

Transgender Benefits and Support

Mental Health

Wellness Events and Programs

Global Mobility

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
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IGT Solutions, a leading provider of digital and data-driven transformation solutions, is proud to announce a collaboration with MongoDB.

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Fourth Quarter Fiscal 2025 Total Revenue of $548.4 million, up 20% Year-over-Year. Full Year Fiscal 2025 Total Revenue of $2.01 billion, up 19% Year-over-Year. Continued Strong Customer Growth with Over 54,500 Customers as of January 31, 2025

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Feb 27th, 2025
Mongodb, Inc. To Present At The Morgan Stanley Technology, Media Telecom Conference

NEW YORK, Feb. 27, 2025 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today announced that Chief Executive Officer, Dev Ittycheria, and Interim Chief Financial Officer, Serge Tanjga, will present at the Morgan Stanley Technology, Media & Telecom Conference in San Francisco, CA.The MongoDB presentation is scheduled for Thursday, March 6, 2025, at 11:30 a.m. Pacific Time (2:30 p.m. Eastern Time). A live webcast of the presentation will be available on the Events page of the MongoDB investor relations website at https://investors.mongodb.com/news-events/events

Constellation Research
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DataStax competes with Couchbase and MongoDB among others.